Main subject detection of image by cropping specific sharp area

Authors:
Fotios C. Vaioulis;Marios S. Poulos;George D. Bokos;Nikolaos Alexandris
Affiliations:
Department of Archives and Library Science, Ionian University, Corfu, Greece;Department of Archives and Library Science, Ionian University, Corfu, Greece;Department of Archives and Library Science, Ionian University, Corfu, Greece;Department of Informatics, University of Piraeus, Piraeus, Greece
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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Abstract

In this paper we faced the problem of main subject detection of an image. We used a method called Composition-Guided Image Acquisition in order to get a mask around the main subject of the image. Then we cropped an area of the original image creating a new much smaller image. This area is defined as a rectangle into the mask of the main subject. Finally we use the new image as input to the Normalized Cuts method in order to get a new image with a red line around the main subject of the original image. We show that our method improves dramatically the task of detecting the main subject of an image comparing it with the use only of the Normalized Cuts method.